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Scale Effects in Markets with Search

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  • Barbara Petrongolo
  • Christopher Pissarides

Abstract

Estimates of aggregate matching functions may miss important scale effects in frictional labour markets because of the reactions of job seekers to scale. We estimate a semi-structural model of search and matching on a British sample of unemployed people, testing for scale effects on the probability of receiving an offer and on the distribution of wage offers. We find them only in wage offers but we also find that reservation wages rise to deliver higher post-unemployment wages but not faster matches. So aggregate matching functions should be unaffected by scale but wage equations should be showing them. Copyright 2006 Royal Economic Society.

Suggested Citation

  • Barbara Petrongolo & Christopher Pissarides, 2006. "Scale Effects in Markets with Search," Economic Journal, Royal Economic Society, vol. 116(508), pages 21-44, January.
  • Handle: RePEc:ecj:econjl:v:116:y:2006:i:508:p:21-44
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    References listed on IDEAS

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    Cited by:

    1. Bleakley, Hoyt & Lin, Jeffrey, 2012. "Thick-market effects and churning in the labor market: Evidence from US cities," Journal of Urban Economics, Elsevier, vol. 72(2), pages 87-103.
    2. Matteo Cacciatore & Giuseppe Fiori, 2016. "The Macroeconomic Effects of Goods and Labor Marlet Deregulation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 1-24, April.
    3. L. Rachel Ngai & Silvana Tenreyro, 2014. "Hot and Cold Seasons in the Housing Market," American Economic Review, American Economic Association, vol. 104(12), pages 3991-4026, December.
    4. Cacciatore, Matteo & Duval, Romain & Fiori, Giuseppe & Ghironi, Fabio, 2016. "Short-term pain for long-term gain: Market deregulation and monetary policy in small open economies," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 358-385.
    5. Sabrina Di Addario, 2005. "Job Search in Thick Markets: Evidence from Italy," Development Working Papers 198, Centro Studi Luca d'Agliano, University of Milano.
    6. Di Addario, Sabrina, 2011. "Job search in thick markets," Journal of Urban Economics, Elsevier, vol. 69(3), pages 303-318, May.
    7. repec:jns:jbstat:v:227:y:2007:i:2:p:115-152 is not listed on IDEAS
    8. Xi Yang, 2014. "Labor market frictions, agglomeration, and regional unemployment disparities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(2), pages 489-512, March.
    9. Amiti, Mary & Pissarides, Christopher A., 2005. "Trade and industrial location with heterogeneous labor," Journal of International Economics, Elsevier, vol. 67(2), pages 392-412, December.
    10. Cacciatore, Matteo & Ghironi, Fabio & Lee, Yurim, 2016. "Financial market integration, exchange rate policy, and the dynamics of business and employment in Korea," Journal of the Japanese and International Economies, Elsevier, vol. 42(C), pages 79-99.
    11. Lollivier, Stefan & Rioux, Laurence, 2005. "A Structural Non-Stationary Model of Job Search: Stigmatization of the Unemployed by Job Offers or Wage Offers?," CEPR Discussion Papers 5108, C.E.P.R. Discussion Papers.
    12. Masaru Sasaki & Miki Kohara & Tomohiro Machikita, 2013. "Measuring Search Frictions Using Japanese Microdata," The Japanese Economic Review, Japanese Economic Association, vol. 64(4), pages 431-451, December.
    13. Ayça Akarçay Gürbüz & Sezgin Polat & Mustafa Ulus, 2014. "In Limbo: Exploring Transition to Discouragement," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(4), pages 527-551, September.
    14. Mark Stater & Jeffrey B Wenger, 2017. "The Immediate Hardship of Unemployment: Evidence from the US Unemployment Insurance System," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(1), pages 17-36, January.
    15. Cacciatore, Matteo & Duval, Romain & Fiori, Giuseppe & Ghironi, Fabio, 2016. "Market reforms in the time of imbalance," Journal of Economic Dynamics and Control, Elsevier, vol. 72(C), pages 69-93.
    16. Cristiano Codagnone & Fabienne Abadie & Federico Biagi, 2016. "The Future of Work in the ‘Sharing Economy’. Market Efficiency and Equitable Opportunities or Unfair Precarisation?," JRC Working Papers JRC101280, Joint Research Centre (Seville site).
    17. Yip, Chi Man, 2011. "Size and The City: Productivity, Match Quality and Wage Inequality," MPRA Paper 31255, University Library of Munich, Germany.
    18. Gautier, P.A. & Teulings, C.N., 2009. "Search and the city," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 251-265, May.
    19. Andersson, Fredrik & Burgess, Simon & Lane, Julia I., 2007. "Cities, matching and the productivity gains of agglomeration," Journal of Urban Economics, Elsevier, vol. 61(1), pages 112-128, January.
    20. Timothy E Dore & Rebecca Zarutskie, 2017. "Firm Leverage, Labor Market Size, and Employee Pay," Finance and Economics Discussion Series 2017-078, Board of Governors of the Federal Reserve System (U.S.).
    21. Torfs, Wouter & Zhao, Liqiu, 2015. "Everybody needs good neighbors? Labor mobility costs, cities and matching," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 39-54.

    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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